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All Journal Sistemasi: Jurnal Sistem Informasi Metodik Didaktik JURNAL MEDIA INFORMATIKA BUDIDARMA PRISMA Proceedings of the 1st UR International Conference on Educational Sciences JURNAL TEKNIK INFORMATIKA DAN SISTEM INFORMASI JURNAL PENDIDIKAN TAMBUSAI JIPI (Jurnal Ilmiah Penelitian dan Pembelajaran Informatika) EDUMATIC: Jurnal Pendidikan Informatika JURNAL TEKNOLOGI INFORMASI JUTIS : Jurnal Teknik Informatika Informatika Jurnal Pendidikan Teknologi Informasi dan Vokasional JOURNAL OF INFORMATION SYSTEM MANAGEMENT (JOISM) JOURNAL OF INFORMATION SYSTEM RESEARCH (JOSH) REKA ELKOMIKA: Jurnal Pengabdian kepada Masyarakat Jurnal Pendidikan Jurnal Pendidikan dan Teknologi Indonesia These proceedings represent the work of researchers participating in The International Conference on Elementary Education (ICEE) which is being hosted by the Elementary Education Study Programme School of Postgraduate Studies, Universitas Pendidikan JoMMiT : Jurnal Multi Media dan IT Journal Of Information And Technology Unimor (JITU) Indexia Action Research Literate (ARL) International Journal Software Engineering and Computer Science (IJSECS) sudo Jurnal Teknik Informatika Jurnal Pengabdian Masyarakat Bangsa Intellect : Indonesian Journal of Learning and Technological Innovation TOFEDU: The Future of Education Journal AI dan SPK : Jurnal Artificial Intelligent dan Sistem Penunjang Keputusan IndoMath: Indonesia Mathematics Education Jurnal Pengabdian Masyarakat dan Riset Pendidikan Journal of Information System and Education Development Kesatria : Jurnal Penerapan Sistem Informasi (Komputer dan Manajemen) The Indonesian Journal of Computer Science Jurnal Sistem Informasi Karya Anak Bangsa Edutik : Jurnal Pendidikan Teknologi Informasi dan Komunikasi Journal of Information Technology and its Utilization
Suprih Widodo, Suprih
Indonesia University Of Education
Aerospace Engineering Agriculture, Biological Sciences & Forestry Arts Humanities Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Mathematics Medicine & Pharmacology Nursing Physics Public Health Social Sciences Other

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Bibliometric Study of TVET and Industry Synergies in the Digital Era on Global Research Direction and Strategy Rahmatya, Aura Salsabillah; Widodo, Suprih; Elviani, Ulva
Jurnal Pendidikan Teknologi Informasi dan Vokasional Vol 7, No 2 (2025): Jurnal Pendidikan Teknologi Informasi dan Vokasional
Publisher : Universitas Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/%x

Abstract

This study aims to assess the direction and strategy of global research related to the synergy between vocational education and training (TVET) and industrial needs in the digital era through a bibliometric approach. The analysis was conducted on 500 scientific documents obtained from the Scopus database using VOSviewer and Biblioshiny software. The analysis showed that keywords such as higher education, vocational education, workplace learning, innovation, employability, and industry 4.0 dominated the scientific discourse, signalling the important role of TVET in building employability skills based on digital industry needs. The thematic visualisation identified four main clusters in the research: (1) education and training, (2) digitalisation and innovation, (3) outcome orientation such as entrepreneurship and employability, and (4) sustainable development and well-being. Geographically, countries such as Germany, Australia, Malaysia, China, Indonesia, South Africa, and Nigeria emerged as major contributors with varied research focuses. Highlighted global strategies include revitalising TVET curricula, strengthening, triple helix collaboration (academic, industry, government), enhancing employability skills through work-based learning approaches, and digitalising learning processes. The findings provide a useful conceptual mapping for stakeholders in developing adaptive, collaborative, and sustainable vocational education policies and practies in the digital era.
Transformasi Pembelajaran Melalui Digital Twin: Systematic Literature Review Lintas Jenjang Pendidikan Thoniyah, Diana Qisthin; Widodo, Suprih; Elviani, Ulva
JATISI Vol 12 No 4 (2025): JATISI (Jurnal Teknik Informatika dan Sistem Informasi)
Publisher : Universitas Multi Data Palembang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35957/jatisi.v12i4.14246

Abstract

Digital Twin (DT) is an innovative technology that creates virtual replicas of physical entities to simulate real-world behavior through real-time data. Although it has been successfully implemented in manufacturing, healthcare, and agriculture sectors, the application of DT in education remains fragmented and focused on specific domains. This study aims to conduct a systematic literature review to identify DT applications in education across various levels, map implementation methodologies, analyze impacts on learning outcomes, and identify challenges and best practices. The method used is a systematic literature review with the PRISMA framework. The search was conducted on the Scopus database for the period 2020-2025 using keywords related to Digital Twin, assessment, and education, yielding 773 articles which were then filtered to 32 final articles. After undergoing quality assessment, 17 articles were selected for further analysis. The research findings indicate that DT enhances students' conceptual understanding and practical skills, supports simulation-based learning, personalized learning, and remote collaboration. These findings provide comprehensive insights into DT utilization that can serve as a reference for researchers, educational practitioners, and policymakers in optimizing the implementation of this technology to improve educational quality.
ANALISIS AI, SISTEM, DAN UI/UX TIKTOK BERBASIS TAM: SYSTEMATIC LITERATURE REVIEW Gusanova, Agizka Rizqta; Widodo, Suprih; Elviani, Ulva
J-SIKA|Jurnal Sistem Informasi Karya Anak Bangsa Vol. 7 No. 02 (2025): Jurnal Sistem Informasi Karya Anak Bangsa (J-SIKA) Vol 7 No 2 edisi Desember 2
Publisher : Program Studi Sistem Informasi

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Abstract

Abstrak Dominasi TikTok dalam lanskap media sosial global sering kali hanya dilihat dari perspektif fenomena budaya, sementara arsitektur teknis yang mendasarinya masih jarang dieksplorasi secara mendalam. Penelitian ini bertujuan untuk menganalisis bagaimana integrasi teknologi di balik layar memengaruhi adopsi pengguna melalui perspektif Technology Acceptance Model (TAM). Menggunakan metode Systematic Literature Review (SLR) dengan protokol PRISMA, penelitian ini menyeleksi dan menganalisis 10 literatur primer yang diterbitkan antara tahun 2020 hingga 2025. Hasil analisis mengungkapkan bahwa persepsi pengguna dibentuk oleh tiga pilar teknis utama. Pertama, persepsi kegunaan (Perceived Usefulness) dikonstruksi oleh algoritma AI berbasis Multimodal Data Fusion yang menjamin personalisasi konten secara presisi. Kedua, persepsi kemudahan penggunaan (Perceived Ease of Use) dicapai melalui sinergi antara desain antarmuka imersif yang meminimalkan beban kognitif dan kinerja sistem berbasis Edge Caching serta Prefetching yang mengeliminasi latensi jaringan. Penelitian ini menyimpulkan bahwa keberhasilan retensi pengguna TikTok adalah hasil dari rekayasa teknis yang menciptakan pengalaman tanpa hambatan (frictionless), di mana stabilitas infrastruktur berfungsi sebagai anteseden vital bagi kepuasan psikologis pengguna. Kata Kunci: TikTok, Technology Acceptance Model (TAM), Kecerdasan Buatan, Desain Antarmuka, Kinerja Sistem. Abstract TikTok's dominance in the global social media landscape is often viewed merely as a cultural phenomenon, while the underlying technical architecture remains underexplored. This study aims to analyze how the integration of backend technologies influences user adoption through the perspective of the Technology Acceptance Model (TAM). Using a Systematic Literature Review (SLR) method with the PRISMA protocol, this study selected and analyzed 10 primary literatures published between 2020 and 2025. The results reveal that user perception is shaped by three main technical pillars. First, Perceived Usefulness is constructed by AI algorithms based on Multimodal Data Fusion which ensures precise content personalization. Second, Perceived Ease of Use is achieved through a synergy between immersive interface design that minimizes cognitive load and system performance based on Edge Caching and Prefetching strategies that eliminate network latency. This study concludes that TikTok's user retention success is the result of technical engineering that creates a frictionless experience, where infrastructure stability serves as a vital antecedent to user psychological satisfaction. Keywords: TikTok, Technology Acceptance Model (TAM), Artificial Intelligence, User Interface, System Performance.
Bridging Theory and Practice: A Review of CT in K-12 Problem-Solving Maghfira, Dinda Alya; Widodo, Suprih; Elviani, Ulva
Jurnal Pengabdian Masyarakat dan Riset Pendidikan Vol. 4 No. 3 (2026): Jurnal Pengabdian Masyarakat dan Riset Pendidikan Volume 4 Nomor 3 (Januari 202
Publisher : Lembaga Penelitian dan Pengabdian Masyarakat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/jerkin.v4i3.4265

Abstract

The digital era demands students master 21st-century skills, with computational thinking (CT) as the fundamental cognitive foundation for problem-solving. Despite policies such as Indonesia's Kurikulum Merdeka integrating CT, significant implementation gaps persist due to insufficient comprehensive guidelines. This study aims to synthesize empirical evidence on CT implementation in enhancing K-12 students' problem-solving abilities through a Systematic Literature Review (SLR). Using ERIC, SpringerLink, ScienceDirect, IEEE Xplore, and Taylor & Francis databases via Publish or Perish, this research identified 973 articles, subsequently filtered to 27 final articles based on rigorous inclusion and exclusion criteria. Analysis reveals that algorithmic thinking (29%), debugging/evaluation (26%), and abstraction (24%) constitute the most dominant CT components developed. The plugged-in approach (69%) dominates implementation through structured/algorithm-based methods (50%) and game-based learning (31%), with Scratch (44%) and Code.org (38%) as primary platforms. The formulated implementation framework demonstrates developmentally appropriate progression from blended (unplugged-plugged) approaches in early elementary, game-based learning in middle elementary, to project-based learning in high school. Findings reveal that while block-based programming and game design are highly effective for algorithmic thinking and debugging, teaching abstraction remains challenging and requires more specific pedagogical strategies. This research contributes a comprehensive knowledge map bridging the gap between juridical policies and CT learning practices in the field, recommending future research directions for formal assessment development, teacher professional development, and interdisciplinary CT integration.
Analisis Komparatif Metode Bag Of Words, TF-IDF, dan Transformer pada Sistem Penilaian Esai Otomatis Berbasis Kecerdasan Buatan Agustin, Amara Seviany; Widodo, Suprih; Elviani, Ulva; Sari, Ayu Permata; Barri, Muhamad Akda Fathul
AI dan SPK : Jurnal Artificial Intelligent dan Sistem Penunjang Keputusan Vol. 3 No. 2 (2025): Jurnal AI dan SPK : Jurnal Artificial Inteligent dan Sistem Penunjang Keputusan
Publisher : CV. Shofanah Media Berkah

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Abstract

Penilaian esai secara manual menghadapi kendala inkonsistensi, subjektivitas, dan keterbatasan waktu, terutama pada pembelajaran berskala besar. Penelitian ini membandingkan tiga pendekatan representasi teks pada sistem penilaian esai otomatis berbasis kecerdasan buatan, yaitu Bag of Words (BoW), Term Frequency–Inverse Document Frequency (TF-IDF), dan Transformer (IndoBERT). Dataset yang digunakan berasal dari Kaggle Learning Agency Lab Automated Essay Scoring 2.0 yang terdiri atas 17.207 esai berbahasa Inggris dan diterjemahkan ke bahasa Indonesia menggunakan model Helsinki-NLP opus-mt-en-id. Tahap prapemrosesan meliputi case folding, pembersihan teks, penghapusan stopword, dan stemming menggunakan pustaka Sastrawi. Metode BoW dan TF-IDF dipadukan dengan Support Vector Regression, sedangkan pendekatan Transformer menggunakan fine-tuning IndoBERT. Evaluasi dilakukan menggunakan metrik Quadratic Weighted Kappa (QWK). Hasil eksperimen menunjukkan bahwa IndoBERT mencapai performa tertinggi dengan nilai QWK sebesar 0,7842, diikuti TF-IDF sebesar 0,6521 dan BoW sebesar 0,6103. Meskipun Transformer unggul dari sisi akurasi, metode klasik tetap relevan untuk implementasi dengan keterbatasan sumber daya komputasi karena efisiensi waktu dan kompleksitas yang lebih rendah. Temuan ini menegaskan pentingnya pemilihan metode penilaian otomatis yang disesuaikan dengan konteks kebutuhan dan infrastruktur pendidikan.
The Transformation of Teachers' Digital Competence in Online Learning: Analysis of Success Factors and Implementation Challenges Fernandes, Muhammad Rafly Juliawan; Widodo, Suprih; Elviani, Ulva; Salsabila, Rahmawati
The Future of Education Journal Vol 4 No 9 (2025): #1
Publisher : Lembaga Penerbitan dan Publikasi Ilmiah Yayasan Pendidikan Tumpuan Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61445/tofedu.v4i9.1265

Abstract

This study systematically analyzes the transformation of teachers' digital competence within the context of online and blended learning. Employing a Systematic Literature Review (SLR) of 25 articles published between 2019–2024, the research identifies the underlying success factors and implementation challenges. The findings reveal that TPACK and DigCompEdu are the most dominant frameworks guiding research and development. Key success factors include high Self-Efficacy and Internal Motivation among teachers, supported by Continuous Hands-on Training and Institutional Leadership. The greatest challenges are rooted in the Infrastructure Gap (First-Order Barriers), prevalent in developing countries, and the Pedagogical Digital Skill Gap (Second-Order Barriers), which refers to teachers' inability to integrate technology for effective interaction and assessment. Successful implementation requires a shift from passive training to Learning by Design models (TPACK-based projects) and continuous Coaching to bolster teacher confidence and bridge the Pedagogical Digital Gap.
Co-Authors Abdillah, Shelya Putri Nurhaliza Afika Rianti Agustin, Amara Seviany Aisah Aisah Al Fayumi, Muhamad Fauzan Andrian, Rian Arrasyid, Rafli Artanti, Freda Desfita Ashila, Annisa Nur Atikah Dhani Ayuningtyas Aulia Sodikin, Reisa Ayi Suherman Ayu Permata Sari Baihaqi, Shidqi Ahmad Barri, Muhamad Akda Fathul Budiarti, Miladi Rizkyah Chairunnisa, Ananda Alma Cilviani, Cindy D. Wahyudin, D. Dian Permata Sari Elviani, Ulva Endah Setyowati Fadhilah, Iffah Fadlan Bima Hermawan Fajriansyah, Muhammad Azra Fauzi Ahmad Muda Fernandes, Muhammad Rafly Juliawan Fikri, Jidan Galura Muhammad Suranegara Gulo, Kurnia Mayestic Gusanova, Agizka Rizqta Hamidah, Hani Haury, Ahmad Musyadad Hikmawan, Rizki Huwaida, Febviana Sulthanah Iqbal, Arifal Muhamad Kartikasari Kartikasari, Kartikasari Ladayya, Ulfa Maghfira, Dinda Alya Mastiar, Mardani Mustaffa, Zuriani Myrna Dwi Rahmatya Nahrowi Adjie Nuriyah Musyafa, Wigi Nuur Wachid Abdul Majid Oktafiani, Wilda Oktaviani, Oriza Mutia Perdana, Cilma Fresha Perdana, Zia Imam Praciska, Mia Tri Pratiwi, Irra Puji Rahayu Putri Alina Sidik, Legira Putri, Regina Aulia Rahmatya, Aura Salsabillah Ramadhan, Reza Putra Ramarumo, Tshepo Rizal, Muhamad Fahmi Romdhoni, Rhezwan Dhaifullah Salsabila, Rahmawati Sanjaya, Miftahul Donny Sari, Dian Pemata Septiadi, Jaka Septianiady, Septianiady Setyawan, Kornelius Rhesa Valdis Siti Hodijah Sodikin, Reisa Aulia Solekha, Solekha Solihat, Sinta Syawalido, Luky Tanjung, Firda Rosiana Thoniyah, Diana Qisthin Wachid Abdul Majid, Nuur Wicaksono, Mochamad Fajar Yulistia, Tia Fuja Yuniar, Rani Zarkasih, Aqmal Idris